Articolo in rivista, 2010, ENG, 10.1103/PhysRevE.82.015103

Complex intermittency blurred by noise: theory and application to neural dynamics

Allegrini P.; Menicucci D.; Bedini R.; Gemignani A.; Paradisi P.

CNR-IFC, Pisa, Italy - Centro EXTREME, Scuola Superiore Sant'Anna, Pisa, Italy; CNR-IFC, Pisa, Italy - Centro EXTREME, Scuola Superiore Sant'Anna, Pisa, Italy; CNR-IFC, Pisa, Italy - Centro EXTREME, Scuola Superiore Sant'Anna, Pisa, Italy; CNR-IFC, Pisa, Italy - Centro EXTREME, Scuola Superiore Sant'Anna, Pisa, Italy - Dipartmento di Scienze Fisiologiche, Università di Pisa, Pisa, Italy; CNR-ISTI, Pisa, Italy

We propose a model for the passage between metastable states of mind dynamics. As changing points we use the rapid transition processes simultaneously detectable in EEG signals related to different cortical areas. Our model consists of a non-Poissonian intermittent process, which signals that the brain is in a condition of complexity, upon which a Poisson process is superimposed. We provide an analytical solution for the waiting- time distribution for the model, which is well obeyed by physiological data. Although the role of the Poisson process remains unexplained, the model is able to reproduce many behaviors reported in literature, although they seem contradictory.

Physical review. E, Statistical, nonlinear and soft matter physics (Online) 82 (1), pp. 015103-1–015103-4

Keywords

I.5.4 PATTERN RECOGNITION. Applications, J.3 LIFE AND MEDICAL SCIENCES, 46N30, Brain dynamics, Fractal intermittency

CNR authors

Paradisi Paolo

CNR institutes

ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"

ID: 44236

Year: 2010

Type: Articolo in rivista

Last update: 2018-01-26 12:04:38.000

CNR authors

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:44236

DOI: 10.1103/PhysRevE.82.015103

ISI Web of Science (WOS): 000280472200001

Scopus: 2-s2.0-77955170444